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using System.Numerics;
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using Shouldly;
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using Xunit;
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namespace Just.PreciseMath.Tests;
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public class PreciseMathInvSqrtTests
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{
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[Theory]
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[InlineData(2.0)]
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[InlineData(3.0)]
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[InlineData(5.0)]
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[InlineData(1e-308)]
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[InlineData(1e308)]
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public void IrrationalInverseRootsRetainMoreThanBinary64Precision(double value)
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{
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DoubleDouble input = new(value);
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DoubleDouble actual = DDMath.InvSqrt(input);
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actual.Low.ShouldNotBe(0.0);
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AssertInvSqrtBound(input, actual);
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}
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[Fact]
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public void SpecialValuesMatchReciprocalSquareRootAndRemainCanonical()
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{
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double[] values = [0.0, -0.0, double.PositiveInfinity, double.NegativeInfinity,
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double.NaN, -1.0, -double.Epsilon, double.MinValue];
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foreach (double value in values)
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{
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DoubleDouble actual = DDMath.InvSqrt(new DoubleDouble(value));
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// Binary64 is an independent oracle only for these special values.
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double expected = 1.0 / Math.Sqrt(value);
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BitConverter.DoubleToInt64Bits(actual.High).ShouldBe(
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BitConverter.DoubleToInt64Bits(double.IsNaN(expected) ? double.NaN : expected));
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BitConverter.DoubleToInt64Bits(actual.Low).ShouldBe(0L);
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DoubleDouble.IsCanonical(actual).ShouldBeTrue();
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}
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DoubleDouble negative = DoubleDouble.FromComponents(-1.0, Math.ScaleB(1.0, -54));
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DoubleDouble.IsNaN(DDMath.InvSqrt(negative)).ShouldBeTrue();
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}
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[Fact]
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public void PowersOfFourHaveExactInverseRootsAcrossTheFiniteRange()
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{
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// 1/sqrt(2^(2k)) = 2^-k exactly, including the minimum subnormal input.
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for (int exponent = -1074; exponent <= 1022; exponent += 2)
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{
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DoubleDouble actual = DDMath.InvSqrt(new DoubleDouble(Math.ScaleB(1.0, exponent)));
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actual.High.ShouldBe(Math.ScaleB(1.0, -(exponent / 2)));
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BitConverter.DoubleToInt64Bits(actual.Low).ShouldBe(0L);
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}
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}
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[Fact]
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public void LowComponentsOnEitherSideOfOneAffectTheInverseRoot()
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{
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foreach (double low in new[] { Math.ScaleB(1.0, -54), -Math.ScaleB(1.0, -54) })
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{
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DoubleDouble input = DoubleDouble.FromComponents(1.0, low);
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DoubleDouble actual = DDMath.InvSqrt(input);
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actual.High.ShouldBe(1.0);
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Math.Sign(actual.Low).ShouldBe(-Math.Sign(low));
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AssertInvSqrtBound(input, actual);
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}
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}
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[Fact]
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public void PositiveFiniteInputsMeetExactRelativeErrorBound()
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{
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// Every input exponent, both parities, dense/sparse lows of either sign,
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// and neighbors of binade transitions. The oracle uses the exact stored
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// input sum, including any rounding during public input construction.
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Random random = new(271828);
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for (int exponent = -1074; exponent <= 1023; ++exponent)
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{
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double high = Math.ScaleB(1.0 + random.NextDouble(), exponent);
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double low = Math.ScaleB(random.NextDouble(), exponent - 53);
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double power = Math.ScaleB(1.0, exponent);
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foreach (double boundary in new[] { Math.BitDecrement(power), power, Math.BitIncrement(power) })
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{
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if (boundary > 0.0)
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{
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DoubleDouble input = new(boundary);
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AssertInvSqrtBound(input, DDMath.InvSqrt(input));
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}
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}
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foreach (double residual in new[] { 0.0, low, -low, double.Epsilon, -double.Epsilon })
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{
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DoubleDouble input = DoubleDouble.FromComponents(high, residual);
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if (input.High > 0.0)
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{
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AssertInvSqrtBound(input, DDMath.InvSqrt(input));
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}
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}
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}
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DoubleDouble[] boundaries = [new(1e-308), new(double.Epsilon),
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new(Math.BitDecrement(Math.ScaleB(1.0, -1022))), new(Math.ScaleB(1.0, -1022)),
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new(Math.BitIncrement(Math.ScaleB(1.0, -1022))), new(double.MaxValue),
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DoubleDouble.FromComponents(double.MaxValue, Math.BitDecrement(Math.ScaleB(1.0, 970))),
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DoubleDouble.FromComponents(double.MaxValue, -Math.ScaleB(1.0, 970)),
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DoubleDouble.FromComponents(1.0, Math.ScaleB(1.0, -53)),
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DoubleDouble.FromComponents(1.0, -Math.ScaleB(1.0, -54)),
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DoubleDouble.FromComponents(4.0, Math.ScaleB(1.0, -51)),
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DoubleDouble.FromComponents(4.0, -Math.ScaleB(1.0, -52)),
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DoubleDouble.FromComponents(0.0, double.Epsilon)];
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foreach (DoubleDouble input in boundaries)
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{
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AssertInvSqrtBound(input, DDMath.InvSqrt(input));
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}
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}
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[Fact]
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public void DenseLowNormalizationBoundariesMeetTheBound()
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{
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// Exercise adjacent lows at half an ulp, both signs, for each exponent.
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Random random = new(161803);
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for (int exponent = -1074; exponent <= 1023; ++exponent)
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{
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double high = Math.ScaleB(1.0 + random.NextDouble(), exponent);
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double halfUlp = Math.ScaleB(1.0, exponent - 53);
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foreach (double magnitude in new[] { Math.BitDecrement(halfUlp), halfUlp, Math.BitIncrement(halfUlp) })
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{
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foreach (double low in new[] { magnitude, -magnitude })
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{
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DoubleDouble input = DoubleDouble.FromComponents(high, low);
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if (DoubleDouble.IsFinite(input) && input.High > 0.0)
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{
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AssertInvSqrtBound(input, DDMath.InvSqrt(input));
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}
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}
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}
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}
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}
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[Fact]
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public void RepresentableSparseCorrectionsAreNotDiscarded()
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{
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// (1+d)^(-1/2) = 1-d/2+O(d^2). For these dyadic d, the quadratic
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// term is below half an ulp of d/2, even at the minimum subnormal.
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foreach (int exponent in new[] { -100, -500, -1000, -1073 })
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{
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foreach (double sign in new[] { -1.0, 1.0 })
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{
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double low = Math.ScaleB(sign, exponent);
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DoubleDouble actual = DDMath.InvSqrt(DoubleDouble.FromComponents(1.0, low));
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actual.High.ShouldBe(1.0);
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actual.Low.ShouldBe(Math.ScaleB(-sign, exponent - 1));
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DoubleDouble.IsCanonical(actual).ShouldBeTrue();
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}
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}
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}
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private static void AssertInvSqrtBound(DoubleDouble input, DoubleDouble actual)
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{
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DoubleDouble.IsFinite(actual).ShouldBeTrue();
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DoubleDouble.IsCanonical(actual).ShouldBeTrue();
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(actual.High > 0.0).ShouldBeTrue();
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// Exact dyadic oracle: x = X*2^-1074, y = Y*2^-1074. For positive
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// x and y, |y/(1/sqrt(x)) - 1| <= t iff (1-t)^2 <= x*y^2 <= (1+t)^2.
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// Cross-multiply with t=2^-100; no DD product, division or rounded root.
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BigInteger x = Units(input.High) + Units(input.Low);
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BigInteger y = Units(actual.High) + Units(actual.Low);
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BigInteger scale = BigInteger.One << 100;
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BigInteger product = (x * y * y) << 200;
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BigInteger lower = ((scale - 1) * (scale - 1)) << 3222;
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BigInteger upper = ((scale + 1) * (scale + 1)) << 3222;
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(product >= lower && product <= upper).ShouldBeTrue(
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$"InvSqrt bound failed for ({input.High:R}, {input.Low:R}): ({actual.High:R}, {actual.Low:R})");
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}
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private static BigInteger Units(double value)
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{
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long bits = BitConverter.DoubleToInt64Bits(value);
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int exponent = (int)((bits >> 52) & 0x7ff);
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BigInteger significand = bits & 0xfffffffffffffL;
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if (exponent != 0)
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{
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significand += BigInteger.One << 52;
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significand <<= exponent - 1;
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}
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return bits < 0 ? -significand : significand;
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}
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}
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@@ -116,6 +116,8 @@ public class PreciseMathSqrtTests
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new(Math.BitIncrement(Math.ScaleB(1.0, -1022))), new(double.MaxValue),
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DoubleDouble.FromComponents(double.MaxValue, Math.ScaleB(1.0, 969)),
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DoubleDouble.FromComponents(double.MaxValue, -Math.ScaleB(1.0, 969)),
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DoubleDouble.FromComponents(double.MaxValue, Math.BitDecrement(Math.ScaleB(1.0, 970))),
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DoubleDouble.FromComponents(double.MaxValue, -Math.ScaleB(1.0, 970)),
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DoubleDouble.FromComponents(1.0, Math.ScaleB(1.0, -53)),
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DoubleDouble.FromComponents(1.0, -Math.ScaleB(1.0, -54)),
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DoubleDouble.FromComponents(4.0, Math.ScaleB(1.0, -51)),
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@@ -126,6 +128,84 @@ public class PreciseMathSqrtTests
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}
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}
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[Fact]
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public void RootRoundingMidpointsAndAdjacentLowsMeetTheBound()
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{
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// Exact squares of root midpoints 1 + 2^-53 and 2 - 2^-53:
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// (1 + 2^-52) + 2^-106 and (4 - 2^-51) + 2^-106.
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// Bracket each with adjacent low doubles, then exercise exponent parity
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// and rescaling. At tiny exponents the input itself loses low precision;
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// the oracle always checks the exact stored input, not the unscaled square.
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double midpointLow = Math.ScaleB(1.0, -106);
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for (int exponent = -1074; exponent <= 1022; ++exponent)
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{
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foreach (double high in new[] { Math.BitIncrement(1.0), Math.BitDecrement(4.0) })
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{
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foreach (double low in new[] { Math.BitDecrement(midpointLow), midpointLow, Math.BitIncrement(midpointLow) })
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{
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DoubleDouble input = DoubleDouble.FromComponents(Math.ScaleB(high, exponent), Math.ScaleB(low, exponent));
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if (DoubleDouble.IsFinite(input) && input.High > 0.0)
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{
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AssertSqrtBound(input, DDMath.Sqrt(input));
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}
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}
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}
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}
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}
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[Fact]
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public void PublicFactoryNormalizesLegacyZeroHighInputsBeforeTakingTheRoot()
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{
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// Legacy raw (0, low) examples are normalized at the public boundary.
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foreach (double low in new[] { double.Epsilon, 1e-308, 2.0, double.MaxValue })
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{
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DoubleDouble input = DoubleDouble.FromComponents(0.0, low);
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AssertSqrtBound(input, DDMath.Sqrt(input));
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}
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DoubleDouble.IsNaN(DDMath.Sqrt(DoubleDouble.FromComponents(0.0, -1.0))).ShouldBeTrue();
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}
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[Fact]
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public void DenseLowNormalizationBoundariesMeetTheBound()
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{
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// Half-ulp lows and their neighbors test both sides of input normalization.
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Random random = new(161803);
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for (int exponent = -1074; exponent <= 1023; ++exponent)
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{
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double high = Math.ScaleB(1.0 + random.NextDouble(), exponent);
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double halfUlp = Math.ScaleB(1.0, exponent - 53);
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foreach (double magnitude in new[] { Math.BitDecrement(halfUlp), halfUlp, Math.BitIncrement(halfUlp) })
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{
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foreach (double low in new[] { magnitude, -magnitude })
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{
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DoubleDouble input = DoubleDouble.FromComponents(high, low);
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if (DoubleDouble.IsFinite(input) && input.High > 0.0)
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{
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AssertSqrtBound(input, DDMath.Sqrt(input));
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}
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}
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}
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}
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}
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[Fact]
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public void RepresentableSparseCorrectionsAreNotDiscarded()
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{
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// sqrt(1+d) = 1+d/2+O(d^2). For these dyadic d, the quadratic term
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// is below half an ulp of d/2, including when d/2 is the minimum subnormal.
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foreach (int exponent in new[] { -100, -500, -1000, -1073 })
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{
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foreach (double sign in new[] { -1.0, 1.0 })
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{
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double low = Math.ScaleB(sign, exponent);
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DoubleDouble actual = DDMath.Sqrt(DoubleDouble.FromComponents(1.0, low));
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actual.High.ShouldBe(1.0);
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actual.Low.ShouldBe(Math.ScaleB(sign, exponent - 1));
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DoubleDouble.IsCanonical(actual).ShouldBeTrue();
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}
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}
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}
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private static void AssertSqrtBound(DoubleDouble input, DoubleDouble actual)
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{
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DoubleDouble.IsFinite(actual).ShouldBeTrue();
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